{"id":"W4406853339","doi":"10.1016/j.geoderma.2025.117189","title":"Low-severity wildfire prevents catastrophic impacts on fungal communities and soil carbon stability in a fire-affected Douglas-fir ecosystem","year":2025,"lang":"en","type":"article","venue":"Geoderma","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia","funders":"Ministry of Forests, Lands, Natural Resource Operations and Rural Development; Government of Canada","keywords":"Ecosystem; Douglas fir; Environmental science; Disturbance (geology); Soil carbon; Ecology; Forestry; Agroforestry; Soil water; Geography; Soil science; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007287749,0.0003382552,0.0004476959,0.00008228752,0.0002030221,0.00007467291,0.0003785976,0.0001725142,0.0000701408],"category_scores_gemma":[0.0001083113,0.0003296,0.00006315254,0.0003894559,0.0001506912,0.0002379856,0.0004349622,0.0004506528,0.00004824675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006982521,"about_ca_system_score_gemma":0.0000455883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02977123,"about_ca_topic_score_gemma":0.05047619,"domain_scores_codex":[0.9973652,0.0008451644,0.0004192819,0.00043842,0.0003464457,0.0005854789],"domain_scores_gemma":[0.9985853,0.0003287667,0.0001248627,0.0008077924,0.000007213965,0.0001460169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001617187,0.0005127696,0.9869249,0.0006078748,0.00003673015,0.00004374618,0.001505583,0.0002790093,0.003126197,0.000003299749,0.0002676666,0.006530543],"study_design_scores_gemma":[0.001197112,0.0001755376,0.9578349,0.0006063441,0.00001742285,0.00001847948,0.000239038,0.03586844,0.003549929,0.00003716282,0.0001513238,0.0003042833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965784,0.0001208591,0.000002047572,0.0001543455,0.0003998936,0.0009732559,0.00008682982,0.0001055312,0.00157884],"genre_scores_gemma":[0.9995812,0.00003247437,0.00001085216,0.0001316171,0.00002714403,0.0001087605,0.00003217204,0.00002186818,0.00005397424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03558943,"threshold_uncertainty_score":0.9999156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006237376126890668,"score_gpt":0.2065622593499001,"score_spread":0.2003248832230094,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}